An optimization model for identifying backbone networks to enhance the resilience of distribution networks by Zefeng Zhu, Liang Liang, Shunbo Lei, Ruimin Zheng, Xiangjun Kong, Elena Gryazina

“…Moreover, a hypothetical case study was conducted to demonstrate the importance of multi-line security principle for safeguarding critical loads during extreme events. The proposed method provides a scientific basis for emergency resource allocation during extreme events and can be integrated into power system planning models.…”
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Trends in burden and mortality of congenital birth defects in G20 countries (1990–2021) and predictions for 2022–2040 by Xiangwen Li, Pengfei Qu, Pu Yan, Yule Kou, Jian Song, Di Wu, Jiayi Wang, Siyu Pan, Yufei Liu, Xinrui Li, Rongqiang Zhang

“…Finally, a Bayesian age-period-cohort (BAPC) model was applied to project DALYs and mortality rates for the period 2022–2040. …”
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Effective Model of Knowledge-Based Transformation and Sustainable Development in BRICS-T Countries by Gustavo Pessoa, Yerkenazym Orynbassarova, Ali Sabyrzhan, Victor Renobell, Vadim Ponkratov, Nurlan Kaldibayev, Irina Nikolaeva, Andrey Pozdnyaev, Anna Shkalenko, David Philippov, Olesya Dudnik

“…The framework is based on an integrated Triple Helix assessment model that quantifies the interrelationships between research output, educational innovation, industry engagement, market alignment and policy support. …”
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Model of Optimization of Process Parameters for Machining of Separate Design Elements of the Product by Gulnara Zhetessova, Irina Khrustaleva, Viacheslav Shkodyrev, Olga Zharkevich, Aliya Kanatova, Murat Kozhanov, Gulim Tattimbetova, Gulnur Abdugaliyeva

“…The model is based on the structural decomposition of the process and includes three levels: technological processing route, technological transition, and working stroke. …”
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Single-Ended Protection Scheme for Offshore Flexible Low-Frequency Transmission Lines Based on High-Frequency Transient Quantities by LI Jingzheng, DU Xiaotong, LI Meng

“…[Objective] To enhance the speed and reliability of protection for marine flexible low-frequency AC transmission lines and ensure the safe operation of offshore wind power flexible low-frequency AC transmission systems，high-frequency transient single-ended fast protection considering the boundary effects of busbars and modular multilevel matrix converters（M3Cs）is proposed. [Methods] By analyzing the equivalent models of busbars and M3Cs at both ends of the line，the boundaries at both ends were noted to have a significant attenuation effect on the high-frequency components of voltage traveling waves，and a clear high-frequency range was determined. …”
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FUNCTIONAL MODEL OF THE MATERIAL RESOURCES MANAGEMENT FOR PROJECTS OF THE CREATION OF NEW TECHNIQUES by S. Yu. Danshyna

“…Specification of the set-theoretic representation helped to establish the area and limits of the modelling process. Further decomposition process became the basis of the functional model, constructed in accordance with the methodology IDEF 0. …”
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Analysis and Forecasting the Price of the S&P 500 Index Using the Arima Model by Vadym Dun

“…The optimal selection of parameters was done automatically. ARIMA model showed good results - the evaluation of the model accuracy included the comparison of the predicted values with the actual values of the SP500 index, both visually and using several metrics - MAE, MSE, RMSE, MAPE. …”
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Modeling and Solution for Course of Action Planning Driven by Operational Task Network by Jianping Wu, Yunjun Lu, Dezhi Li, Yun Ren, Wenlu Zhou, Shandong Yuan

“…This model integrates classical Hierarchical Task Network (HTN) and Influence Net (IN) reasoning methods, utilizing HTN for operational task analysis and using IN for COA planning. …”
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A deep learning based hybrid recommendation model for internet users by Amany Sami, Waleed El Adrousy, Shahenda Sarhan, Samir Elmougy

“…A key contribution of this work is the innovative fusion of CF, NCF, RNN, and CBF, which collectively address significant challenges such as data sparsity, the cold-start problem, and the increasing demand for personalized recommendations. Additionally, the model employs N-Sample techniques to recommend the top 10 similar items based on user-specified genres, leveraging methods like Cosine Similarity, Singular Value Decomposition (SVD), and TF-IDF. …”
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A Simple and Effective KAN-Based Architecture for Accurate Battery RUL Prediction by Guangzai Ye, Li Feng, Jianlan Guo, Yuqiang Chen, Shufei Li

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Few-shot bearing fault diagnosis method based on an EEMD parallel neural network and a relation network by Cunsheng Zhao, Bo Tong, Chao Zhou, Qingrong Fan

“…To address these challenges, this paper proposed a few-shot bearing fault diagnosis method based on an Ensemble Empirical Mode Decomposition (EEMD) parallel neural network and a relation network (RN). …”
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A Hybrid VMD-BO-GRU Method for Landslide Displacement Prediction in the High-Mountain Canyon Area of China by Bao Liu, Jiahuan Xu, Jiangbo Xi, Chaoying Zhao, Xiaosong Feng, Chaofeng Ren, Haixing Shang

“…Therefore, developing effective landslide displacement prediction models is essential. The paper introduces a model designed to forecast the landslide displacement using Variational Mode Decomposition (VMD), Bayesian Optimization (BO), and Gated Recurrent Units (GRU). …”
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A VMD-TCN-Based Method for Predicting the Vibrational State of Scaffolding in Super High-Rise Building Construction by Ping Zhu, Gen Liu, Jian Wang, Pengfei Wang

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A Short-Term Load Forecasting Method Considering Multiple Factors Based on VAR and CEEMDAN-CNN-BILSTM by Bao Wang, Li Wang, Yanru Ma, Dengshan Hou, Wenwu Sun, Shenghu Li

“…Firstly, multiple contributing factors strongly correlated with the short-term load are selected based on the Spearman correlation analysis, the vector autoregressive (VAR) model with multivariate input is derived, and the Levenberg–Marquardt algorithm is introduced to estimate the model parameters. …”
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A New Method of Intelligent Fault Diagnosis of Ship Dual-Fuel Engine Based on Instantaneous Rotational Speed by Ji Gan, Huabiao Jin, Qianming Shang, Chenxing Sheng

“…This model provides an effective new method for intelligent diagnosis of ship dual-fuel engine misfire faults to solve the traditional diagnostic methods’ limitations.…”
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Global, regional, and national burden of endocrine, metabolic, blood, and immune disorders from 1990 to 2021, and projections to 2050: a systematic analysis of the global burden of... by Jinpai Liang, Hongyan Leng, Xuelian Bai, Linling Li, Tao Qin, Jiazhi Ruan, Guoxing Wang, Wenjuan Zhang

“…Bayesian age-period-cohort (BAPC) models were applied for projections to 2050. Decomposition analysis attributed changes in disease burden to population growth, aging, and epidemiological shifts.ResultsIn 2021, the global incidence of EMBID was 79.47 million (95% UI 63.34–98.63 million), with an age-standardized rate of 957.58 (95% UI 766.99–1,183.95) per 100,000, showing a slight decline (EAPC: -0.24% [95% CI -0.35 – -0.12]). …”
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Uncertainty‐aware nuclear power turbine vibration fault diagnosis method integrating machine learning and heuristic algorithm by Ruirui Zhong, Yixiong Feng, Puyan Li, Xuanyu Wu, Ao Guo, Ansi Zhang, Chuanjiang Li

“…Then, a feature extraction method integrating variational mode decomposition (VMD), L‐cliffs‐based effective mode selection, and sample entropy is devised to extract the latent features from the complex high‐dimensional feature space. …”
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Ensemble-based multiclass lung cancer classification using hybrid CNN-SVD feature extraction and selection method. by Md Sabbir Hossain, Niloy Basak, Md Aslam Mollah, Md Nahiduzzaman, Mominul Ahsan, Julfikar Haider

“…The main contribution of this research lies in its use of a hybrid CNN-SVD (Singular Value Decomposition) method and the use of a robust voting ensemble approach, which results in superior accuracy and effectiveness for mitigating potential errors. …”
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Multi-Modal Joint Pulsed Eddy Current Sensor Signal Denoising Method Integrating Inductive Disturbance Mechanism by Yun Zuo, Gebiao Hu, Fan Gan, Zhiwu Zeng, Zhichi Lin, Xinxun Wang, Ruiqing Xu, Liang Wen, Shubing Hu, Haihong Le, Runze Wu, Jingang Wang

“…This method constructs the Improved Whale Optimization -Variational Mode Decomposition-Singular Value Decomposition-Wavelet Threshold Denoising (IWOA-VMD-SVD-WTD) fourth-order processing architecture: IWOA adaptively optimizes the VMD essential variables (K, α) and employs the optimized VMD to decompose the perception coefficient (IMF) of the PEC signal. …”
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Structural Damage Early Warning Method of Quayside Container Crane Based on Fuzzy Entropy Ratio Variation Deviation by Jiahui Liu, Jian Zhao, Dong Zhao, Xianrong Qin

“…The efficacy of the proposed early warning method is validated through numerical experiments and engineering case studies. …”
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